Certificate in AI Or AI Certification is a 6-month course. This is a really sought skill as the companies need a professional who can extract data and present it in a presentable manner. As the level of competition is increasing day by day, so it is difficult to be competitive in this dynamic industry.

In this online program, you will become a qualified and certified AI engineer who will help companies understand complex data. You will be learning the concepts of machine learning using the Python programming language. You will learn the fundamentals of machine learning as well. You will understand how to solve industry problems with the available resources like TensorFlow. And start solving problems like image and video processing, NLP, text analysis, and more in this Certificate in Artificial Intelligence online course.

You will master skills like AI, including logic, knowledge representation, probabilistic and much more. This program is a good resource to learn artificial intelligence, knowledge and gain some expertise. It's a perfect combination of theory and practical syllabus. 

If you want to dive into AI or ML (machine learning) world, then this is the right course for you. If you are a working professional in this field like you are a data scientist, programmer, or any other professional related to this field and want to increase your salary package or income then you should take these courses. AS knowledge of AI is required in all the IT fields.

If you are a student or working professional And want to master this crucial skill. And also those graduates who are willing to get into this field, then you all can take admission in this certification. If you have prior experience in the programming language that will be great, but if you are a beginner then also you are most welcome. Our program will make you a professional in artificial intelligence.

Course Content

Total: 45 lectures
  • What is AI?
  • Turing Test Approach
  • Cognitive modeling approach
  • Laws of thought approach
  • Rational agent approach
  • Philosophy
  • Mathematics
  • Economics
  • Neuroscience
  • Psychology
  • Computer engineering
  • Control theory and cybernetics
  • Linguistics
  • gestation of AI
  • birth of AI
  • Early enthusiasm, great expectations
  • A dose of reality
  • Knowledge-based systems: The key to power?
  • AI becomes an industry
  • The return of neural networks
  • AI adopts the scientific method
  • The emergence of intelligent agents
  • The availability of very large data sets
  • Robotic vehicles
  • Speech recognition
  • Autonomous planning and scheduling
  • Game playing
  • Spam fighting
  • Logistics planning
  • Robotics
  • Machine Translation
  • Assessment
  • Agents and Environments
  • Rationality
  • Omniscience, learning, and autonomy
  • Specifying the task environment
  • Properties of task environments
  • Agent programs
  • Simple reflex agents
  • Model-based reflex agents
  • Goal-based agents
  • Utility-based agents
  • Learning agents
  • Components of agent programs
  • Assessment


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